Tunhasiriwet, Anusith

Introduction: Current dietary guidelines no longer recommend against egg consumption despite the high cholesterol content. However, considerable controversy remains on the relationship between high egg consumption and cardiovascular disease (CVD) risk. The objective of this systematic review and meta-analysis was to explore the association between egg consumption and CVD events. Methods: We systematically searched PubMed, Scopus, and the Cochrane Database of Systematic Reviews from database inception through April 2015 for observational studies with hazard ratio (HRs) or relative risks (RRs) and 95% confidence intervals (95% CI) that reported the association between egg consumption and CVD events which included coronary heart disease (CHD) and stroke. Data were extracted by one reviewer followed by independent screening and extraction of study characteristics and outcome data by two other reviewers. Conflicts were resolved through consensus. Random-effects meta-analyses were used to pool the hazard ratios or relative risks from the included studies. Subgroup analyses were performed to explore the potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: We identified 5 cross-sectional and 6 prospective studies with median follow-up of 13.1 years. A total of 301,339 individuals and 10,262 total CVD events were included with 7,225 CHD and 3,037 stroke cases. Compared to consumption of less than 1 egg/day, higher egg consumption was associated with an increased risk of CVD events (pooled HR, 1.43; 95% CI, 1.01-2.03; p=0.012; I 2 = 65.7% and pooled RR, 1.09; 95% CI, 0.89-1.34; p=0.145; I 2 = 41.4%). Conclusions: Our analysis suggests that higher consumption of eggs (more than 1 egg/day) may be associated with increased risk of cardiovascular disease. Large and diverse prospective community-based cohorts will be necessary to establish optimal dietary recommendations for public health.

Introduction: Current proposed Dietary Guidelines for Americans, 2015 suggested replacing refined grains (e.g., white rice) with whole grains (e.g., brown rice) for improved health outcomes; however, the association between white rice consumption and risk of cardiovascular disease (CVD) was not fully investigated. The purpose of this study was to explore the associations between rice consumption, metabolic syndrome and cardiovascular disease. Methods: We conducted a comprehensive search of MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials from database inception through May 2015. Observational studies were included if the studies reported hazard ratios (HRs) or odd ratios (ORs) of the associations between rice consumption, metabolic syndrome and cardiovascular disease. Data were extracted by one reviewer and then reviewed by two independent reviewers. Conflicts were resolved through consensus. Using the DerSimonian and Laird random effects models, we calculated pooled HRs and pooled ORs with 95% confidence intervals (95% CIs). Subgroup analyses were performed to explore potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: Out of 343 retrieved articles, we identified 6 cross-sectional and 9 prospective studies with a total of 575,852 individuals with 24,649 total CVD events and 4,409 metabolic syndrome cases. The highest category of white rice consumption (≥5 times/week) was associated with a 37% higher risk of metabolic syndrome (pooled OR, 1.37; 95% CI: 1.03-1.84; p<0.001; I 2 = 78.7%) but not a higher risk of cardiovascular disease (pooled HR, 1.01; 95% CI: 0.95-1.08; p=0.65; I 2 = 0%), compared to the lowest category (≤1 time/month). Conclusions: Higher white rice consumption has not been shown to increase the risk of cardiovascular diseases but may be associated with increased risk of metabolic syndrome.

Introduction: Obesity is a growing global health problem associated with substantial morbidity and mortality. The risk of obesity on incident new-onset heart failure is controversial. The aim of this systematic review and meta-analysis was to explore the association between overweight, obesity and incident new-onset heart failure. Methods: We systematically searched MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials from database inception through April 2015. Prospective cohort studies were included if the studies reported hazard ratios (HRs) of the association between overweight or obesity and new-onset heart failure (HF) relative to individuals with normal weight. Data were extracted by one reviewer followed by independent screening and extraction of study characteristics and outcome data by two other reviewers. Conflicts were resolved through consensus. Random-effects meta-analyses were used to pool the hazard ratio from the included studies. Subgroup analyses were performed to explore the potential sources of heterogeneity. Results: Out of 1,865 retrieved articles, we identified 10 relevant studies. Median follow-up was 12 years with a total of 82,167 individuals and 4,570 total HF events. Compared to normal body weight (body mass index (BMI) <25 kg/m2), overweight (BMI 25-29.9 kg/m2) was associated with 27% higher risk of new-onset heart failure events (pooled HR, 1.27; 95% confidence intervals (95% CI): 1.15-1.41; p<0.001; I 2 = 0%) and obesity (BMI ≥30 kg/m2) was associated with a two-fold increased risk for new-onset heart failure events (pooled HR, 2.09; 95% CI, 1.68-2.60; p<0.001; I 2 = 67.8%). Conclusions: Compared with normal-weight individuals, both overweight and obesity were independently associated with significantly higher incidence of heart failure. These results highlight the need for better understanding of mechanisms of obesity and heart failure.

Cardiovascular disease (CVD) is the most common cause of death worldwide. Cardiac rehabilitation (CR) is increasingly recognised as an essential part of clinical care for patients with CVD. CR is a complex intervention that encompasses a multidisciplinary approach that focuses on health education, modification of cardiovascular risk factors, exercise training, physical activity and stress management. In the current American Heart Association/American College of Cardiology guidelines, cardiac rehabilitation is a class IA recommendation for secondary prevention of acute myocardial infarction, percutaneous coronary intervention and cardiac surgery and Class II recommendation for chronic stable heart failure. Despite proven effectiveness, however, participation in traditional CR remains low. Although the reasons for participation and non-participation in CR have been well described, the use of Twitter to explore public perceptions of CR has not yet been formally reported. To the best of our knowledge, the analysis of Twitter for insights on CR is a novel investigation that is relevant for addressing significant problems related to CR awareness in the digital age. We performed data mining of Twitter to assess patients’ perceptions regarding CR and the reasons for their participation and non-participation in CR between 23 July 2015 and 22 October 2017. We analysed a total of 5515 Twitter messages. Tweets associated with CR were often used to self-report on health status either before or after participating in CR or contained emotional language with positive or negative comments, advertisements or updated news. Twitter users wrote mainly positive comments about CR, suggesting the platform has the potential to disseminate both the benefits of CR and its research to the public on the worldwide scale.

Background: A shorter sleep duration has been identified as a risk factor for cardiovascular diseases and increased mortality. It has been hypothesized that a short sleep duration may be linked to changes in ghrelin and leptin production, leading to an alteration of stress hormone production. Here, we conducted a systematic review and meta-analysis to investigate the potential relationship between a sleep duration and cardiovascular disease mortality. Methods: We conducted a comprehensive search of Ovid Medline In-Process and other non-indexed citations, Ovid MEDLINE, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, and Scopus from database inception to March 2017. Observational studies were included if the studies reported hazard ratios or odds ratios of the associations between sleep durations (short and long) and cardiovascular disease mortality. Data were extracted by a reviewer and then reviewed by two separate reviewers. Conflicts were resolved through consensus. Using the DerSimonian and Laird random effects models, we calculated pooled hazard ratios and pooled odds ratios with 95% confidence intervals (CI). Subgroup analyses were performed to explore potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: In total, our meta-analysis included 19 studies (31 cohorts) with a total of 816,995 individuals with 42,870 cardiovascular disease mortality cases. In pooled analyses, both short (risk ratio 1.19; 95% CI 1.13 to 1.26, P<0.001, I2=30.7, Pheterogeneity=0.034), and long (risk ratio 1.37; 95% CI 1.23 to 1.52, P<0.001, I2=79.75, Pheterogeneity<0.001) sleep durations were associated with a greater risk of cardiovascular disease mortality. Conclusions: Both short (<7 hours) and long sleep durations (>9 hours) can increase the risk of overall cardiovascular disease mortality, particularly in Asian populations and elderly individuals. Future epidemiological studies would ideally include objective sleep measurements, rather than self-report measures, and all potential confounders, such as genetic variants.

Globally, among infectious diseases, influenza is one of the leading causes of morbidity and mortality. Individuals with chronic conditions, including cardiovascular disease and diabetes, are particularly vulnerable to complications of an influenza infection. The European Society of Cardiology recommended annual influenza vaccinations for patients with cardiovascular disease. Numerous studies have suggested a link between influenza and increased risk of cardiovascular events. Despite its proven benefits, little is known about the reason for the underutilization of influenza vaccination. We present the findings of an assessment of patients’ perception of the influenza vaccine and the reason for its underutilization, by data mining from Twitter.